Data scientist at lol.travel

lol.travel; Rimini; Presencial; EUR 42 000 - 66 000; Tempo integral

Resumo da oferta

lol.travel in Rimini, EMI, IT, is seeking a Data Scientist for a full-time on-site role. The position offers opportunities for career growth in a dynamic travel-tech environment located in Rimini.

Ideal candidates combine ML know-how with data visualization and strong SQL/NoSQL capabilities, and enjoy collaborating across teams. The role emphasizes practical analytics, model development, and data-driven decision making to optimize travel experiences and operations.

Qualificações

• Excellent understanding of ML techniques and algorithms (e.g., k-NN, Naive Bayes, SVM, Decision Forests).
• Experience with data science toolkits such as R, Weka, NumPy, MatLab; excellence in at least one is desirable.
• Great communication skills.
• Experience with data visualization tools such as D3.js, GGPlot.
• Proficiency with query languages such as SQL, Hive, Pig.
• Experience with NoSQL databases such as MongoDB, Cassandra, HBase.
• Good applied statistics skills (distributions, tests, regression).
• Good scripting and programming skills.
• Data-oriented personality.

Conhecimentos

ML knowledge

Communication

Scripting & programming

Data-oriented mindset

Statistics

Ferramentas

R

Weka

NumPy

MatLab

D3.js

GGPlot

SQL

Hive

Pig

MongoDB

Cassandra

HBase

Descrição da oferta de emprego

Data scientist at lol.travel in Rimini, EMI, IT. This Full time on site position offers great opportunities for career growth.

Skills and Qualifications

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM,Decision Forests, etc.
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable:
• Great communication skills
• Experience with data visualisation tools, such as D3.js, GGplot, etc.
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills
• Data-oriented personality

Location: RIMINI